This document summarizes a study that analyzed genetic variations in African and European cattle genomes using workflows built in the Taverna workflow system. Researchers sequenced the genome of an African Boran cow and identified 11.9 million genetic variants. The variants were mapped between assemblies, filtered to find those in protein-coding genes, and analyzed with PolyPhen to identify variants likely to affect proteins. The full analysis workflow was packaged in a virtual machine image for easy sharing. The workflow demonstrated new features of Taverna 2.2 for reproducible analysis of large genomic datasets.

2. Analysing African and European cattle with Taverna 2.2 A BioInformatics case study demonstrating the use of the Taverna 2 workflow system This is a snapshot of some exiting science which is currently in progress

4. Workflow and phases MAP FILTER ANALYSIS

5. Workflow and phases Input SNP file Populate DB with start SNP’s and resource version numbers Lift-over: maps between UMD3 and BTA4 cow assemblies Exon positions from ENSMBL Find SNPs in Exon regions PolyPhen to mark “dangerous” SNP’s

8. Packaged as a sharable virtual machine image 11.9 Million SNPs LiftOver Results PolyPhen 50,000 annotated SNPs ENSEMBL 11.9 Million SNPs LiftOver Results PolyPhen 20,000 annotated SNPs + provenance. ENSEMBL

10. Packaged as a sharable virtual machine image ENSEMBL Boran Cow Annotated DB MAP FILTER ANALYSIS FILTER ANALYSIS MAP FILTER ANALYSIS Sheko Cow N’Dama Cow Etc …